Detecting inconsistent information in crowd-sourced street networks based on parallel carriageways identification and the rule of symmetry

2021 ◽  
Vol 175 ◽  
pp. 386-402
Author(s):  
Xiang Zhang ◽  
Tianfu Wang ◽  
Delin Jiao ◽  
Zhiying Zhou ◽  
Jianwei Yu ◽  
...  
Urban Science ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 18
Author(s):  
Ayyoob Sharifi ◽  
Maryam Roosta ◽  
Masoud Javadpoor

As cities are exposed to a portfolio of risks, the concept of resilience has risen to prominence over the past two decades. Consequently, a large volume of research has been published on different aspects of urban resilience. However, urban form resilience is still relatively understudied. As a step toward filling this gap, this study examines resilience of nine selected neighborhoods from Shiraz, an old Iranian city. The selected cases represent three different urban form patterns, namely, traditional, semi-planned, and planned. Different indicators related to the physical configuration of lots, blocks, open and green spaces, and street networks are used to examine resilience of each neighborhood to three major stressors, namely, earthquakes, extreme heat events, and floods. Additionally, a combination of Shannon entropy and the VIKOR (VlseKriterijumska Optimizcija I Kaompromisno Resenje in Serbian) method is used to rank the resilience of each neighborhood to each of the three stressors. Results show that, overall, the physical form of the planned neighborhoods is more conducive to urban resilience. In contrast, the urban form of traditional neighborhoods was found to be less resilient. There were, however, some variations depending on the type of stressor considered. The paper concludes by emphasizing the need to consider social and economic factors in future studies of urban form resilience.


2014 ◽  
Vol 46 (4) ◽  
pp. 341-344 ◽  
Author(s):  
Bin Jiang ◽  
Atsuyuki Okabe

2020 ◽  
pp. 39-49
Author(s):  
admin admin ◽  

In real life situations, there are many issues in which there are uncertainties, vagueness, complexities and unpredictability. Neutrosophic sets are a mathematical tool to address some issues which cannot be met using the existing methods. Neutrosophic soft matrices play a crucial role in handling indeterminant and inconsistent information during decision making process. The main focus of this article is to discuss the concept of neutrosophic sets, neutrosophic soft sets, neutrosophic soft matrices theory and finally to discuss about neutrosophic soft block matrics which are very useful and applicable in various situations involving uncertainties and imprecisions. In this article, neutrosophic soft block matrices, various types of neutrosophic soft block matrices, some operations on it along with some properties associated with it are discussed in details.


2021 ◽  
pp. 1-20
Author(s):  
Eva-Maria Griesbauer ◽  
Ed Manley ◽  
Daniel McNamee ◽  
Jeremy Morley ◽  
Hugo Spiers

Abstract Spatial boundaries play an important role in defining spaces, structuring memory and supporting planning during navigation. Recent models of hierarchical route planning use boundaries to plan efficiently first across regions and then within regions. However, it remains unclear which structures (e.g. parks, rivers, major streets, etc.) will form salient boundaries in real-world cities. This study tested licensed London taxi drivers, who are unique in their ability to navigate London flexibly without physical navigation aids. They were asked to indicate streets they considered as boundaries for London districts or dividing areas. It was found that agreement on boundary streets varied considerably, from some boundaries providing almost no consensus to some boundaries consistently noted as boundaries. Examining the properties of the streets revealed that a key factor in the consistent boundaries was the near rectilinear nature of the designated region (e.g. Mayfair and Soho) and the distinctiveness of parks (e.g. Regent's Park). Surprisingly, the River Thames was not consistently considered as a boundary. These findings provide insight into types of environmental features that lead to the perception of explicit boundaries in large-scale urban space. Because route planning models assume that boundaries are used to segregate the space for efficient planning, these results help make predictions of the likely planning demands of different routes in such complex large-scale street networks. Such predictions could be used to highlight information used for navigation guidance applications to enable more efficient hierarchical planning and learning of large-scale environments.


2018 ◽  
Vol 49 (3) ◽  
pp. 445-472 ◽  
Author(s):  
Or Aleksandrowicz ◽  
Claudia Yamu ◽  
Akkelies van Nes

The application of space syntax to the study of urban history—in this case, that of Tel Aviv and Jaffa (present-day Tel Aviv–Yafo)—can add a valuable, quantifiable component to the understanding of urban processes. However, it also demonstrates that historical spatio-syntactical analysis can prove misleading when interpreted separately from other types of historical evidence—for example, the ethnic conflicts that led to the formation of a strong divide between Tel Aviv and Jaffa despite their contiguous geography and interlaced street networks. A rigorous use of spatio-syntactic analysis in combination with “conventional” historical research methods can reveal the tensions and interplays between the spatio-physical and social forces that shape the life of cities, and it can invigorate our understanding of urban growth and transformationpatterns throughout history.


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